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DBMS > Apache Kylin vs. Cubrid vs. Google Cloud Firestore

System Properties Comparison Apache Kylin vs. Cubrid vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websitekylin.apache.orgcubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­firestore
Technical documentationkylin.apache.org/­docscubrid.org/­manualsfirebase.google.com/­docs/­firestore
DeveloperApache Software Foundation, originally contributed from eBay IncCUBRID Corporation, CUBRID FoundationGoogle
Initial release201520082017
Current release3.1.0, July 202011.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, Java
Server operating systemsLinuxLinux
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes, Firebase Rules & Cloud Functions
Triggersyesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache KylinCubridGoogle Cloud Firestore
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